RDA Professionalising Data Stewardship - Data Stewardship Landscape Report Resource Matrix

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28
Oct
2022

RDA Professionalising Data Stewardship - Data Stewardship Landscape Report Resource Matrix

By Bridget Walker


Professionalising Data Stewardship IG

Group co-chairs:  Peter NeishRomain DAVIDDebora DruckerChristina DrummondYan WangNiklas ZimmerGraham PartonJaana Pinnick

Supporting Output title: RDA Professionalising Data Stewardship - Data Stewardship Landscape Report Resource Matrix

Authors:  Lorna Wildgaard, Jukka Rantasaari

Impact: The resource database will give information to all who are interested in developing their data stewardship skills needed to better serve the needs of researchers. 

DOI: 10.15497/RDA00077

Citation

 

Abstract

This dataset includes the resources which were included in the Research Data Alliance Professionalising Data Stewardship Interest Group (RDA PDS-IG) Training Landscape sub-group report published in October 2022. The literature was structured into the following categories: data stewardship; education and training of data stewards; RDM education; training materials; data management plan templates; documents about the skills needed to support EOSC and FAIR principles; data management in the humanities, industry, life sciences, natural sciences, public institutions and the social sciences. The aim was to identify papers concerning the RDM needs of researchers and data stewards and their role in the RDM life cycle. The screening resulted in 125 papers that are used as the knowledge base for the output report.

 

Output Status: 
Supporting Outputs under community review
Review period start: 
Monday, 31 October, 2022 to Wednesday, 30 November, 2022
Group content visibility: 
Use group defaults
Primary WG Focus / Output focus: 
Domain Agnostic: 
Domain Agnostic
File: 
AttachmentSize
File The Gaps Report_ References.xlsx131.52 KB
  • Yuri Demchenko's picture

    Author: Yuri Demchenko

    Date: 29 Nov, 2022

    This is the copy of comments posted to the report discussion: Please include these resources.

    The report misses reference to and corresponding analysisn of at least two results o the FAIRsFAIR project:

    1) Deliverable D7.3 that proposed the Data Stewardship Professional Competence Framework

     "D7.3 FAIR Competence Framework for Higher Education (Data Stewardship Professional Competence Framework)" - https://zenodo.org/record/4562089#.Y4VXiHbMK38

    The deliverable uses evidence based identification of important Data Stewards competences, skills and knowledge based on the job market analysis.

    2) Deliverable D7.4 "How to be FAIR with your data. A teaching and training handbook for higher education institutions" https://zenodo.org/record/6674301#.Y4VaZnbMK38

    and

    3) Book "How to be FAIR with your data: A teaching and training handbook for higher education institutions", by Claudia Engelhardt et al. Published 2022, DOI: https://doi.org/10.17875/gup2022-1915,

    Other related resources

    4) Data Steward Professional: Reference dataset of Data Steward related job vacancies for competences assessment

    https://zenodo.org/record/6008122#.Y4VYg3bMK38

    5) Research Data Management and Data Stewardship Competences in University Curriculum

     Yuri Demchenko; Lennart Stoy

    Proc. EDUCON2021 – IEEE Global Engineering Education Conference (EDUCON2021), Vienna, Austria (Virtual), 21-23 April 2021 (Session Session "Special Session Data Science Education")

     https://zenodo.org/record/4633752#.Y4VYp3bMK38

    6) EDISON Data Science Framework (EDSF) that defined Data Steward professional profile (back in 2017) and related documents CF-DS, DS-BoK, MC-DS, DSPP

    https://edisoncommunity.github.io/EDSF/

  • Jaana Pinnick's picture

    Author: Jaana Pinnick

    Date: 01 Dec, 2022

    Thank you for reading our draft outputs and taking the time to provide comments on them. We have considered the feedback and here is our reply: 

    • First, the literature review is not meant to be a systematic or exhaustive review of all the literature of data stewardship.
    • Second, in the methods section we announce:  “The search was conducted between March 2021 and July 2021” and it contains publications from years 2012-2021. So, this is why there are not citations to the sources published later, such as in 2022:
      • Deliverable D7.4 "How to be FAIR with your data. A teaching and training handbook for higher education institutions"
      • Book "How to be FAIR with your data: A teaching and training handbook for higher education institutions", by Claudia Engelhardt et al. Published 2022
      • Data Steward Professional: Reference dataset of Data Steward related job vacancies for competences assessment
    • Third, contrary to what is suggested, we do comment and cite to the deliverable D7.3 on pages 13, 17, 22, 29, 34, 40, 41, 45, 46, 57. Moreover, we also have comment on and cite Edison Data Science Framework by Demchenko et al. (2017). 

    We hope this addresses the points you queried but we're happy to provide further information if needed. 

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